Summary
Mauricio Soto is a senior Machine Learning R&D Engineer with over a decade of experience translating research-grade ideas into industrial AI products, currently leading global AI programs at Hitachi Energy across 10 sites. He combines deep academic credentials (MSc and PhD in Software Engineering from Carnegie Mellon) with hands-on expertise in time-series ML, automatic program repair, and biometric-driven feature engineering developed at ABB and Carnegie Mellon. Mauricio has led cross-disciplinary teams, managed roadmaps and IP strategy, and delivered performance models that influence executive decisions and client deployments. He is as comfortable designing probabilistic models and mutation-based repair systems as he is managing budgets and mentoring engineers, a blend that accelerates both innovation and adoption. A less obvious strength is his track record of turning academic insights into practical tools—such as mined human-behavior models for automated bug patches—demonstrating an ability to bridge theoretical research and measurable business impact.
11 years of coding experience
9 years of employment as a software developer
Bachelor of Science - BSc, Computer Science, Bachelor of Science - BSc, Computer Science at Universidad de Costa Rica
Master of Science - MSc, Software Engineering, Master of Science - MSc, Software Engineering at Carnegie Mellon University
Exchange Student, Computer Science, Exchange Student, Computer Science at Rutgers University
Spanish, English, Portuguese